J.A. Noble
University of Oxford
75 Papers
190 Citations
J.A. Noble is an academic researcher from University of Oxford. The author has contributed to research in topics: Population & Image segmentation. The author has an hindex of 22, co-authored 71 publications.
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Papers
International estimated fetal weight standards of the INTERGROWTH-21st Project
Julien Stirnemann,José Villar,Laurent Salomon,Eric O Ohuma,Eric O Ohuma,P Ruyan,Douglas G. Altman test,François Nosten,R Craik,Shama Munim,L Cheikh Ismail,F C Barros,F C Barros,A Lambert,Shane A. Norris,M Carvalho,Y A Jaffer,J.A. Noble,Enrico Bertino,M G Gravett,Manorama Purwar,Cesar G. Victora,Ricardo Uauy,Ricardo Uauy,Zulfiqar A Bhutta,Stephen Kennedy,Aris T. Papageorghiou +26 more
TL;DR: The aim was to provide international EFW standards to complement the INTERGROWTH‐21st Fetal Growth Standards that are available for use worldwide.
302
Ultrasound-based gestational-age estimation in late pregnancy.
Aris T. Papageorghiou,B. Kemp,William Stones,Eric O Ohuma,Stephen Kennedy,Manorama Purwar,Laurent Salomon,Doug G Altman,J.A. Noble,Enrico Bertino,M G Gravett,Ruyan Pang,L Cheikh Ismail,Fernando C. Barros,A Lambert,Y A Jaffer,Cesar G. Victora,Zulfiqar A Bhutta,José Villar +18 more
TL;DR: The objective of this study was to determine how GA can best be estimated by fetal ultrasound for women who present for the first time late in pregnancy with uncertain or unknown menstrual dates.
163
The distribution of clinical phenotypes of preterm birth syndrome: implications for prevention.
Fernando C. Barros,Fernando C. Barros,Aris T. Papageorghiou,Cesar G. Victora,J.A. Noble,Ruyan Pang,Jay D. Iams,L Cheikh Ismail,Robert L. Goldenberg,A Lambert,Michael S. Kramer,M Carvalho,Agustin Conde-Agudelo,Y A Jaffer,Enrico Bertino,Michael G. Gravett,Douglas G. Altman test,Eric O Ohuma,Eric O Ohuma,Manorama Purwar,I O Frederick,Zulfiqar A Bhutta,Stephen Kennedy,José Villar +23 more
TL;DR: Clusters of preterm birth phenotypes associated with different patterns of neonatal outcomes are identified to contribute to an improved understanding of this complex syndrome and provide an empirical basis to focus research on a more homogenous set of phenotypes.
156
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.
TL;DR: There is huge potential for AI to assist in repetitive ultrasound tasks, such as automatically identifying good‐quality acquisitions and providing instant quality assurance, and wider knowledge of AI will help accelerate its integration into healthcare.
153
Gestational weight gain standards based on women enrolled in the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project: a prospective longitudinal cohort study
L Cheikh Ismail,D C Bishop,Ruyan Pang,Eric O Ohuma,Gilberto Kac,Barbara Abrams,Kathleen M. Rasmussen,Fernando C. Barros,Jane E. Hirst,A Lambert,Aris T. Papageorghiou,William Stones,Y A Jaffer,Doug G Altman,J.A. Noble,M R Giolito,M G Gravett,Manorama Purwar,Stephen Kennedy,Zulfiqar A Bhutta,José Villar +20 more
TL;DR: Weight gain in pregnancy is similar across the eight populations studied and the standards generated in this study of healthy, well nourished women may be used to guide recommendations on optimal gestational weight gain worldwide.
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